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Energy Research Institute

Dr Duncan Borman

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email:d.j.borman@leeds.ac.uk
tel:+44 (0)113 3432354
location:School of Civil Engineering 305

Position

Lecturer in Engineering Mathematics and Modelling

Research activities

Research Interests

My research interest is in understanding problems that involve multiphase flows that occur in numerous real world problems; my approaches involve developing computational models and applying and developing novel Computational Fluid Dynamics (CFD). This involves developing understanding of mixing in complex fluids where a chemical or biological processes maybe occurring  (e.g. bioreactors, fuel cells, combustion, high-speed jets, ventilation) and in problems that require prediction of moving boundaries and free-surfaces (e.g. air-water interfaces; understanding morphologies of solidifying/precipitating solutions, inverse problems). The research is both reliant on the development of numerical codes, particularly in the area of boundary problems, but also makes use of a range of commercial and opensource solvers where suitable.  I work closely with the cross-faculty Centre for Computational Fluid Dynamics and I’m  involved in multidisciplinary research with colleagues across the University, UK and internationally.

Some current projects include:

-   Coupling of advanced biokinetic growth models (e.g. for algal growth, wastewater) with CFD for energy efficient process development (EPSRC Research Internship + other)

-   Theoretical and Experimental Modelling of Crystallisation of Actinide Salts from Impinging Liquid Droplets (EPSRC and National Nuclear Laboratory)

-   IAM-PM4OCF: Industrial application (modelling) of particle methods for open channel flows

-   ESTEEM2: Effective Student Teamwork for Engagement in Engineering Modelling (HESTEM)   

 

Clean, renewable and alternative energy Modelling

 

-Alternative Fuel Combustion Research

An aspect of this research is concerned with using computational models and CFD to investigate the combustion of alternative fuels within gas turbines. The CFD modelling allows for the evaluation of aircraft combustors when bio- and synthetic- fuels replace standard jet fuel. This area of modelling takes advantage of new reaction mechanisms developed within the Centre for Computational Fluid Dynamics for these fuels. A key aspect of this work is to improve the predictions of emissions for these new bespoke fuels. In this work it is critical to study different turbulence and combustion models to assess the accuracy of combustion phenomena predictions. The consequence of using these new fuels for aviation can then be further understood by taking the engine emissions as an input to climate models to help understand the impact of adopting different energy and fuel use strategies. http://www.engineering.leeds.ac.uk/cfd/research/AlternativeFuels.shtml 

 

 

-Coupling of advanced biokinetic growth models (e.g. for algal growth, wastewater) with CFD for energy efficient process development

For example -Biogas energy production has become a significant growth area in the UK and internationally as strict targets for recycling and regulation enforce the extraction of energy from waste products where possible. As such, research into optimising bio-gas production is crucial to achieve successful large-scale systems. There are a number of considerations and problems involved in scaling experimental pilot plants. Such situations are well suited to CFD analysis to understand the flow and mixing behaviour within a reactor, where models can be successfully validated using the pilot plant and then used to aid predictions of mixing efficiency and gas production in the large-scale reactors. Complex 2-way coupled flow models are required to accurately predict both the behavior of the transient multiphase mixing and the associated reactions that occur in a reactor.   We are working to reliably couple the flow field to the biokinetic reactions to provide a tool that will allow comprehensive evaluation new reactors.  

 

 

-Fuel cell research

We are involved in a broad range of experimental and theoretical fuel cell research on both PEM and SOFC devices. I have particular interest in the CFD modeling of PEM cells and the development of our own in-house fuel cells and associated test and experimental facilities. A current project involves a single PEM fuel cell stack that has been specially designed and fabricated to produce comparable data for our CFD models. Water management is being evaluated inside the flow-field channels using direct visualisation techniques. An aim of the current research is to develop a mathematical model to predict the performance of the PEM fuel cell with different geometries of gas distributors to improve water management inside the cell.

http://www.engineering.leeds.ac.uk/cfd/ 

 

 

 

Meshless Methods

-MFS:

I apply the method of fundamental solutions (MFS) and other BEM approaches to solve numerically inverse problems which consists of finding unknown cavities within regions of interest, based on given boundary Cauchy data. Research is being undertaken to investigate applications where multiple complex geometry cavities need to be located using similar techniques – for example in EIT.  Electrical Impedance Tomography (EIT) is a technique in which an image of the permittivity, or conductivity, of the interior of an object is inferred from surface measurements of electrical phenomena. As a non-invasive technique, EIT can be of particular benefit when used for medical imaging. The process uses non ionising radiation, and therefore it is possible to use the procedure for continuous monitoring. The problem of recovering the conductivity information is a nonlinear and ill-posed inverse problem. As such, one of the current drawbacks to the technique is a low spatial resolution.

-SPH

Smooth particle hydrodynamics (SPH) is a meshless approach that has advantages over other computational techniques for modelling multiphase flows that have a distinct interface between them. The prime example is water and air in open channel flows. 

 

Institute for Public Health and Environmental Engineering (IPHEE)

I am a member of the Institute for Public Health and Environmental Engineering (IPHEE) within the School of Civil Engineering. The Institute takes a global outlook in public health and environmental engineering, investigating the interactions between infrastructure, the environment and human health.

iPHEE Research

iPHEE

Research Institute Membership

Research students

Dr Borman is currently supervising the following research student(s):

STUDENT THESIS TITLE
Andrew Coughtrie Mathematical modelling of waste water treatment processes
Zarashpe Kapadia Quantifying the climate and air quality impacts of the combustion of alternative fuels in aviation
Richard Wood Experimental and theoretical studies of contaminant transport due to human movement in a hospital corridor

Teaching activities

Educational Research

I'm interested in learning and teaching appoaches that provide opportunities for students(particularly in the area of Engineering Mathematics and Mathematical Modelling) to engage with new materials in interactive and engaging ways. I currently manage the ESTEEM1 (Electronic Student Toolkit for Engagement in Engineering Mathematics)project that involves developing and evaluating new materials and approaches for education in Engineering Mathematics.

I currently hold a University of Leeds Education Fellowship that is allowing me to develop approaches for promoting modelling in Civil Engineering.

University Education Fellowship

Link to online repository of materials

 

I am currently the Faculty of Engineering Academic Champion for Blended and Digital Learning and chair the faculty BL committee. The group aim to support the sharing of practice across the faculty (and with wider university) and have responsibility for establishing the faculity's BL strategy.

 

If you are looking for the Civil Engineering IT wiki (a wealth of computing resources and information) then you can find it here

Full address is: https://apps.engineering.leeds.ac.uk/mediawiki/civil/index.php/Main_Page:
 

In 2014/2015, Dr Borman will be involved in teaching the following modules:

Engineering Mathematics and Modelling 1 CIVE1560
Integrated Design Project I (inc Design Studio 1) CIVE1660
Engineering Mathematics II CIVE2602
MEng Third Year Abroad CIVE9001
Commercial Software ETII5010M

Other information


Selected publications

or you can display a fuller, categorised list

Dawson M; Borman D; Hammond RB; Lesnic D; Rhodes D A meshless method for solving a two-dimensional transient inverse geometric problem. International Journal of Numerical Methods for Heat and Fluid Flow, vol. 23, pp.790-817. 2013.LINK
DOI
Coughtrie AR; Borman DJ; Sleigh PA Effects of turbulence modelling on prediction of flow characteristics in a bench-scale anaerobic gas-lift digester. Bioresource Technology, vol. 138, pp.297-306. 2013.LINK
DOI
Motaman S; Mullis AM; Borman DJ; Cochrane RF; McCarthy IN Numerical and experimental modelling of back stream flow during close-coupled gas atomization. Journal of Computers and Fluids, vol. 88, pp.1-10. 2013.LINK
DOI
Dawson M; Borman DJ; Hammond RB; Lesnic D; Rhodes D Detection of a two-dimensional moving cavity. International Journal of Computer Mathematics, vol. 89, pp.1569-1582. 2012.LINK
DOI
Ismail MS; Borman DJ; Damjanovic T; Ingham D; Pourkashanian M On the through-plane permeability of microporous layer-coated gas diffusion layers used in proton exchange membrane fuel cells. International Journal of Hydrogen Energy, vol. 36, pp.10392-10402. 2011.LINK
DOI
Uryga-Bugajska I; Borman DJ; Pourkashanian M; Catalanotti E; Wilson C Theoretical investigation of the performance of alternative aviation fuels in an aero-engine combustion chamber. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, vol. 225, pp.874-885. 2011.LINK
DOI
Rosli MI; Borman DJ; Ingham DB; Ismail MS; Ma L; Pourkashanian M Transparent PEM Fuel Cells for Direct Visualization Experiments. Journal of Fuel Cell Science and Technology, vol. 7, 2010.LINK
DOI
Uryga-Bugajska I; Catalanotti E; Pourkashanian M; Ma L; Borman D; Wilson CW Assesment of the performance of alternative aviation fuel in a Modern Air-spray Combustor (MAC) in: ASME International Mechanical Engineering Congress and Exposition, Proceedings, vol. 3, pp.61-69. 2009.LINK
DOI
Borman DJ; Ingham DB; Johansson BT; Lesnic D The method of fundamental solutions for detection of cavities in EIT. Journal of Integral Equations and Applications, vol. 21, pp.381-404. 2009.LINK
DOI
Uryga-Bugajska I; Pourkashanian M; Borman DJ; Catalanotti E Theoretical investigaion of the performance of alternative aviation fuels in an aero-enginve combustion chamber in: societies COEA (editors) CEAS 2009, European Air and Space Conferenece. 2009.LINK
Borman DJ; Jahanshah F; Dehghani AA Mechatronic system approach for improving speed and reliability of digital ink-jet printing. Mechatronics, 2004.

Staff list